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Noah Patrick Elite Prospects ↗

Position: Defense DOB: 2003-10-13 Country: Canada
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2022-23 Oakville Blades OJHL 36 2 1 3 0.083 0.0204 0.0202 0.0570 0.0564
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Morrisville D3 SUNYAC — 20 0 1 1 0.050
2025-26 SUNY Morrisville D3 SUNYAC SR 20 0 1 1 0.050
2024-25 Morrisville D3 SUNYAC — 19 1 3 4 0.210
2024-25 SUNY Morrisville D3 SUNYAC JR 19 1 3 4 0.210
2023-24 Morrisville D3 SUNYAC — 12 0 2 2 0.167
2023-24 SUNY Morrisville D3 SUNYAC SO 12 0 2 2 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.02
before college
→
Actual FR PPG
0.17
2023-24 · Morrisville
+772.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
10%
NCAA D2/D3
20%
Age-Out / Club
55%
Pro / Other

NCAAe Rankings

#30380
Defenseman overall
#4459
Defenseman born in 2003
#5363
in OJHL

D1 Comparables

Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Mike Preston
USHL · 2012-13 · 0.07 PPG
→ Army (0.16 D1 FR PPG)
0.04 Average D
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Cliff Watson
USHL · 2012-13 · 0.18 PPG
→ Michigan Tech (0.10 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG

D2/3 Comparables

Adam Hammerbeck
St. Norbert · 2005-06
0.200 Developing
actual D2/3 PPG
Alex Trapp
St. Thomas · 2014-15
0.412 Average
actual D2/3 PPG
Justin Brown
Bethel · 2015-16
0.000 No data
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.